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https://github.com/christianvidalwolf-prog/CrazeAnalytix.git
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fix: include all ad-spend ASINs in MKT tab to match ADs Weekly total
Two bugs fixed: 1. Removed hardcoded year===2025 filter (data is already pre-filtered) 2. ASINs with ad spend but no sales records were silently dropped — now appended as extra rows so the total PPC spend matches ADs Weekly Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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co-authored by
Claude Sonnet 4.6
parent
657009a7ba
commit
0eda5551d8
@@ -159,25 +159,24 @@ export default function MktDataView({ rawData, adsData }: MktDataViewProps) {
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}
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});
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// ASIN → global sell-out and units (only for 2025)
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// ASIN → global sell-out and units
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const sellOutMap = new Map<string, number>();
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const unitsMap = new Map<string, number>();
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const rawData2025 = rawData.filter(r => r.year === 2025);
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rawData2025.forEach(r => {
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rawData.forEach(r => {
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const asin = r.asin.trim().toUpperCase();
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sellOutMap.set(asin, (sellOutMap.get(asin) || 0) + r.sellOut);
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unitsMap.set(asin, (unitsMap.get(asin) || 0) + r.units);
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});
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// ASIN → global ad spend (only for 2025)
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// ASIN → global ad spend (all filtered data, no hardcoded year)
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const adsSpendMap = new Map<string, number>();
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const adsData2025 = adsData.filter(r => r.year === 2025);
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adsData2025.forEach(r => {
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adsData.forEach(r => {
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const asin = r.asin.trim().toUpperCase();
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adsSpendMap.set(asin, (adsSpendMap.get(asin) || 0) + r.cost);
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if (asin) adsSpendMap.set(asin, (adsSpendMap.get(asin) || 0) + r.cost);
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});
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return Array.from(metaMap.entries())
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// Build products from sales ASINs
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const products = Array.from(metaMap.entries())
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.map(([asin, meta]): Product => ({
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id: asin,
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asin,
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@@ -195,6 +194,31 @@ export default function MktDataView({ rawData, adsData }: MktDataViewProps) {
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chargebacksPrevMonth: 0,
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cogs: 0,
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}));
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// Add ASINs that have ad spend but no sales records (so total matches ADs tab)
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adsSpendMap.forEach((spend, asin) => {
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if (!metaMap.has(asin) && spend > 0) {
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products.push({
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id: asin,
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asin,
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sku: '',
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name: asin,
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image: '',
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category: 'Other',
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brand: '',
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grossSales: 0,
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unitsSold: 0,
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ppcSpend: spend,
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deals: dealsMap.get(asin) || 0,
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promos: promosMap.get(asin) || 0,
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chargebacks: chargebacksMap.get(asin) || 0,
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chargebacksPrevMonth: 0,
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cogs: 0,
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});
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}
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});
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return products;
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}, [rawData, adsData, dealsMap, promosMap, chargebacksMap]);
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const filteredProducts = allProducts;
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